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Data Engineer
Encora
·
3-5 years
₹ 6 - 15.36L/yr (AmbitionBox estimate)
This is an estimate of the average salary range for this
position. It has not been reviewed by the company, and
the actual salary may differ.
Kolkata, Mumbai, New Delhi + 4 more
1 vacancy
Data Engineer
Encora
posted 17hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Important Information
Location: PAN India
Experience: 4+ Years
Job Mode: Full-time
Work Mode: Work from home
Job Summary
Location: PAN India
Experience: 4+ Years
Job Mode: Full-time
Work Mode: Work from home
Job Summary
We are seeking a talented and motivated Data Engineer with requisite years of hands-on experience to join our growing data team. The ideal candidate will have experience working with large datasets, building data pipelines, and utilizing AWS public cloud services to support the design, development, and maintenance of scalable data architectures. This is an excellent opportunity for individuals who are passionate about data engineering and cloud technologies and want to make an impact in a dynamic and innovative environment.
Responsibilities and Duties
- Data Pipeline Development: Design, develop, and optimize end-to-end data pipelines for extracting, transforming, and loading (ETL) large volumes of data from diverse sources into data warehouses or lakes.
- Cloud Infrastructure Management: Implement and manage data processing and storage solutions in AWS (Amazon Web Services) using services like S3, Redshift, Lambda, Glue, Kinesis, and others.
- Data Modeling: Collaborate with data scientists, analysts, and business stakeholders to define data requirements and design optimal data models for reporting and analysis.
- Performance Tuning & Optimization: Identify bottlenecks and optimize query performance, pipeline processes, and cloud resources to ensure cost-effective and scalable data workflows.
- Automation & Scripting: Develop automated data workflows and scripts to improve operational efficiency using Python, SQL, or other scripting languages.
- Collaboration & Documentation: Work closely with data analysts, data scientists, and other engineering teams to ensure data availability, integrity, and quality. Document processes, architectures, and solutions clearly.
- Data Quality & Governance: Ensure the accuracy, consistency, and completeness of data. Implement and maintain data governance policies to ensure compliance and security standards are met.
- Troubleshooting & Support: Provide ongoing support for data pipelines and troubleshoot issues related to data integration, performance, and system reliability.
Qualifications Skills:
Essential Skills:
- Experience: 3-5 years of professional experience as a Data Engineer, with a strong background in building and optimizing data pipelines and working with large-scale datasets.
- AWS Experience: Hands-on experience with AWS cloud services, particularly S3, Lambda, Glue, Redshift, RDS, and EC2.
- ETL Processes: Strong understanding of ETL concepts, tools, and frameworks. Experience with data integration, cleansing, and transformation.
- Programming Languages: Proficiency in Python, SQL, and other scripting languages (e.g., Bash, Scala, Java).
- Data Warehousing: Experience with relational and non-relational databases, including data warehousing solutions like AWS Redshift, Snowflake, or similar platforms.
- Data Modeling: Experience in designing data models, schema design, and data architecture for analytical systems.
- Version Control & CI/CD: Familiarity with version control tools (e.g., Git) and CI/CD pipelines.
- Problem-Solving: Strong troubleshooting skills, with an ability to optimize performance and resolve technical issues across the data pipeline.
Desirable Skills:
- Big Data Technologies: Experience with Hadoop, Spark, or other big data technologies.
- Containerization & Orchestration: Knowledge of Docker, Kubernetes, or similar containerization/orchestration technologies.
- Data Security: Experience implementing security best practices in the cloud and managing data privacy requirements.
- Data Streaming: Familiarity with data streaming technologies such as AWS Kinesis or Apache Kafka.
- Business Intelligence Tools: Experience with BI tools (Tableau, Quicksight) for visualization and reporting.
- Agile Methodology: Familiarity with Agile development practices and tools (Jira, Trello, etc.)
About Encora
At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
At Encora, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
Employment Type: Full Time, Permanent
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(based on 50 Encora interviews)
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Company Website
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54%
18%
2%
2%
24% candidates got the interview through other sources.
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What people at Encora are saying
Rating based on 6 Data Engineer
reviews
Anonymous · Data Science & Machine Learning
in Hyderabad
Likes
Company offers permanent wfh
Dislikes
Hikes, employee benefits and work culture
Read 6 reviewsData Engineer salary at Encora
reported by
23
employees
with 2-5
years exp.
₹4
L/yr - ₹15.4
L/yr
14%
less
than the average Data Engineer Salary in India
View more details
What Encora employees are saying about work life
based on 671 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Encora Benefits
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Encora Chennai Office Locations
Chennai Office
2nd floor, Module 7, North Block, Phase 2, IG3 Infra Ltd. IT SEZ, Pallavaram, Thoraipakkam
Chennai
600097
600097
Chennai Office
No. 11, Doxa Business Center, Rattha Tek Tower, OMR Road Thoraipakkam
Chennai 600097, India
Chennai
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